{"id":"W2868940794","doi":"10.1371/journal.pone.0200219","title":"Teaching hospital alternatives for Veterans Health Administration facilities: A Google Maps proximity study","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University of Pennsylvania; U.S. Department of Veterans Affairs","keywords":"Administration (probate law); Assertion; Health care; Veterans Affairs; Medicine; Medical emergency; Obstacle; Business; Politics; Public administration; Family medicine; Political science; Economic growth; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001218692,0.000289799,0.0002912387,0.002442734,0.001595975,0.002524716,0.0006736539,0.0006878043,0.003352723],"category_scores_gemma":[0.009831744,0.0002761252,0.0008043644,0.006037756,0.0007195899,0.002563879,0.001847066,0.0007469449,0.0006544325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404163,"about_ca_system_score_gemma":0.001305699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06649984,"about_ca_topic_score_gemma":0.09250946,"domain_scores_codex":[0.998643,0.0006076877,0.0001136345,0.0001427799,0.0002388561,0.0002540938],"domain_scores_gemma":[0.995549,0.001748097,0.001357668,0.0002684741,0.0006500429,0.0004267607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000366912,0.0003784843,0.9440163,0.0002810455,0.0001711823,0.0005461777,0.02902809,0.0003185014,0.0001627021,0.001703747,0.003176637,0.01985029],"study_design_scores_gemma":[0.00002865974,0.0002350952,0.8508909,0.0001448343,0.000103857,0.0003875601,0.1405108,0.001435927,0.0001352286,0.0003885838,0.005688006,0.0000503427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980337,0.0000999041,0.00006357465,0.0001704354,0.000005532463,0.00002290602,0.0005883627,0.000004098537,0.001011361],"genre_scores_gemma":[0.9988249,0.0001297685,0.0001985319,0.00003053439,0.000006264488,0.0000297618,0.0004849589,0.000004906565,0.0002904533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06649984,"threshold_uncertainty_score":0.1322255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09206086539600436,"score_gpt":0.3670200457075837,"score_spread":0.2749591803115793,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}